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Product.ai is the truth layer for commerce.
The Role
Own and operate a profitable revenue engine end-to-end: the publishing pipeline, promo-code verification, and conversion paths. Drive real-dollar outcomes (conversion, retention, revenue), model freshness/decay, integrate agent/AI access, and iterate in production with autonomy. Prove improvements with measurable financial impact.
Summary Generated by Built In
Own a profitable engine at a scale most builders never touch.
Product.ai is the verified truth layer for shopping - what's actually true about a product, including when not to buy. Profitable. Bootstrapped. No outside investors. No board. 20 people outbuilding companies 10× our size.
Why This Role ExistsThere's a profitable revenue engine inside this company - hundreds of thousands of stores, millions of users, real money every day - and it funds everything else we build. (It's SimplyCodes, the largest independent coupon-verification platform on the internet.) A few senior engineers and the founder keep it running, each stretched thin; it has far more upside than its owners have hours. So you'd be handed something rare: a profitable engine nobody has time to push as far as it can go - and the autonomy to push it. You own its technical surface, and you're measured in dollars.
What You Will OwnThe engine end to end - the publishing pipeline that stays fresh and ranks, the verification that decides whether a code is true, and the conversion paths where freshness turns into dollars. Real outcomes (conversion, retention, revenue), in real dollars, not engagement proxies. One seat, real autonomy: you decide what to build and prove it moved the number. Agents write most of the code; the scarce thing is judgment, and you own the verdict.
The System You'll Need to Model
Who You AreYou reason in invariants, failure modes, and tradeoffs, tie each to the number it moves, and can read a system you've never seen well enough to sketch where it breaks the same day. You can do this job by hand and prove it - that's what lets you direct agents and trust the result. Point at a system you shipped where the outcome was real money, name the hardest failure you diagnosed, and say what you changed. That matters to us more than where you did it or what you studied.
Who this isn't for. If you draw architectures you won't operate, want a narrow lane, need a platform team beneath you, think in projects and timelines over systems steered in real time, or can't say why the code an agent handed you is right - this isn't your seat.
How We EvaluateNo traditional interviews: a written artifact (a system you built, the hardest failure you diagnosed, what you changed), a 15-minute async screen, calls with company stakeholders, a founder conversation, then a paid 4-day trial in our real environment. We learn more in 4 days than in 40 hours.
Compensation & Ownership$400,000 - $480,000 first-year (base $250,000 - $330,000), plus Profits Interest Units - Class B at $0 strike, real ownership day one, capital-gains treatment, annual profit sharing, annual tender liquidity, 100% family premium coverage, and uncapped AI tooling. When the company wins, you win - in real, liquid dollars, every year. Los Angeles, hybrid; remote-flexible for the right builder.
Product.ai is the verified truth layer for shopping - what's actually true about a product, including when not to buy. Profitable. Bootstrapped. No outside investors. No board. 20 people outbuilding companies 10× our size.
Why This Role ExistsThere's a profitable revenue engine inside this company - hundreds of thousands of stores, millions of users, real money every day - and it funds everything else we build. (It's SimplyCodes, the largest independent coupon-verification platform on the internet.) A few senior engineers and the founder keep it running, each stretched thin; it has far more upside than its owners have hours. So you'd be handed something rare: a profitable engine nobody has time to push as far as it can go - and the autonomy to push it. You own its technical surface, and you're measured in dollars.
What You Will OwnThe engine end to end - the publishing pipeline that stays fresh and ranks, the verification that decides whether a code is true, and the conversion paths where freshness turns into dollars. Real outcomes (conversion, retention, revenue), in real dollars, not engagement proxies. One seat, real autonomy: you decide what to build and prove it moved the number. Agents write most of the code; the scarce thing is judgment, and you own the verdict.
The System You'll Need to Model
- Truth that decays in hours. Promotion data has a half-life of hours, not quarters - a working code builds trust, a dead one burns it.
- Content AI can't displace - and still growing. Real-time, freshness-critical, branded-transactional queries are what models can't cache or fake; AI is a tailwind here, not a headwind.
- Spend you make legible. Compute is large by design - the expensive thing is a redo cycle, not the tokens.
Who You AreYou reason in invariants, failure modes, and tradeoffs, tie each to the number it moves, and can read a system you've never seen well enough to sketch where it breaks the same day. You can do this job by hand and prove it - that's what lets you direct agents and trust the result. Point at a system you shipped where the outcome was real money, name the hardest failure you diagnosed, and say what you changed. That matters to us more than where you did it or what you studied.
Who this isn't for. If you draw architectures you won't operate, want a narrow lane, need a platform team beneath you, think in projects and timelines over systems steered in real time, or can't say why the code an agent handed you is right - this isn't your seat.
How We EvaluateNo traditional interviews: a written artifact (a system you built, the hardest failure you diagnosed, what you changed), a 15-minute async screen, calls with company stakeholders, a founder conversation, then a paid 4-day trial in our real environment. We learn more in 4 days than in 40 hours.
Compensation & Ownership$400,000 - $480,000 first-year (base $250,000 - $330,000), plus Profits Interest Units - Class B at $0 strike, real ownership day one, capital-gains treatment, annual profit sharing, annual tender liquidity, 100% family premium coverage, and uncapped AI tooling. When the company wins, you win - in real, liquid dollars, every year. Los Angeles, hybrid; remote-flexible for the right builder.
Skills Required
- Proven experience owning and operating revenue-generating production systems end-to-end (publishing pipeline, verification, conversion).
- Track record of shipping systems that produced real revenue and can cite the hardest failure diagnosed and the fix implemented.
- Ability to reason in invariants, failure modes, and tradeoffs and tie work to concrete business metrics (conversion, retention, revenue).
- Hands-on troubleshooting and operational skill to run and improve systems you design; comfortable operating in production day-to-day.
- Experience working with or integrating AI agents/AI tooling and making services callable by agents (or strong demonstrated ability to do so).
- Willingness to work in a Los Angeles hybrid model, with remote flexibility for exceptional candidates.
- Provide a written hiring artifact describing a system you built and the hardest failure you diagnosed (part of evaluation).
Product.ai Compensation & Benefits Highlights
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Equity Value & Accessibility — Ownership is delivered via profits‑interest units with an annual December tender allowing sale of a portion of vested units, creating recurring liquidity. Feedback suggests this structure makes upside more realizable than typical private‑company options.
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Healthcare Strength — Medical, dental, and vision coverage are explicitly listed, signaling a solid core health package. Feedback suggests this forms a dependable baseline alongside other listed benefits.
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Wellbeing & Lifestyle Benefits — Free daily meals, commuter benefits, and onsite parking at the Los Angeles HQ, plus learning stipends and conferences, enhance day‑to‑day support. Feedback suggests these perks complement the core package for those working on‑site.
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The Company
What We Do
Product.ai (formerly Demand.io) is the truth layer for commerce. Built on Axiomatic Intelligence — a proprietary adversarial reasoning methodology that stress-tests product claims against physics, economics, and engineering constraints — Product.ai delivers verified purchase verdicts, not summaries. Product.ai tells consumers when NOT to buy. Product.ai emerges from Demand.io, a profitable, bootstrapped AI commerce company whose SimplyCodes platform processes over $1B in annual transaction value with a team of 20. Founded by Michael Quoc.
Gallery
Product.ai Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
Los Angeles, CA
Our office is centrally located at the intersection of Santa Monica and Brentwood on a trendy section of Wilshire. Offering expansive views of the ocean to downtown LA, our high rise building sits right next to some of LA's most popular restaurants, cafes, juice bars and brunch spots.
